Aramide G.

Key Skills

Software

Label Studio

CVAT

Top Subject Matter

Large Language Models (LLM)/NLP

Computer Vision

Legal Services & Contract Review

Top Data Types

Text

Image

Video

Document

Top Task Types

RLHF

Bounding Box

Freelancer Overview

AI Data Annotator & AI Trainer (Freelance/Project-Based). Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Label Studio and CVAT. Education includes Bachelor of Science, Obafemi Awolowo University (2026). AI-training focus includes data types such as Text and Image and labeling workflows including RLHF and Bounding Box.

Labeling Experience

AI Data Annotator & AI Trainer (Freelance/Project-Based)

CVATImageBounding Box

I annotated over 50,000 images and video frames for computer vision models using semantic segmentation and bounding box techniques. I maintained high-quality standards and consensus audit scores in the data labeling process. My work involved mastering annotation tools and adhering strictly to client guidelines. • Conducted semantic segmentation and bounding box labeling of visual data. • Used CVAT and Label Studio for high-volume annotation projects. • Consistently achieved over 99% data accuracy and consensus scores. • Adapted to complex, evolving annotation guidelines.

2022 - 2023

AI Data Annotator & AI Trainer (Freelance/Project-Based)

Label StudioTextRLHF

As an AI Data Annotator and AI Trainer, I evaluated, ranked, and generated human-preference baseline data for large language models through RLHF workflows. I provided detailed textual justifications for model safety and alignment and optimized NLP chatbot accuracy. In addition, I developed custom Python scripts to automate data preprocessing and annotation outputs. • Evaluated, ranked, and justified LLM outputs using RLHF. • Ensured project consensus and quality audit scores over 99%. • Executed NER and text classification on large text datasets. • Developed automation scripts to reduce manual data labeling time constraints.

2022 - 2023

Education

Work History